Is this the same as the GSC cannibalization tracker?

No. That tool reads a Search Console CSV with query and page columns. This one uses pipe-separated pairs you supply.

Why lowercase keywords?

Keywords normalize to lowercase so casing differences do not hide a conflict.

What if three URLs compete?

All URLs appear in the group. Primary selection still sorts by position then clicks.

Does this connect to live data?

No API calls. All parsing runs in the browser from pasted text.

Keyword Research

Live

Keyword Cannibalization

Find pages on your site fighting each other for the same term.

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URL + keyword pairs

One per line: URL | keyword | position | clicks. Position and clicks optional but improve recommendations.

8 pairs

2 conflicts

"hiking boots"

3 URLs targeting the same keyword · 11,920 clicks total

cannibalization

URL	Pos	Clicks	Role
https://example.com/best-hiking-boots	12	8420	consolidate
https://example.com/hiking-boots-2026	18	1200	consolidate
https://example.com/hiking-boots-buyers-guide	9	2300	primary

Keep https://example.com/hiking-boots-buyers-guide as the canonical for "hiking boots". Consolidate or differentiate the others: • https://example.com/best-hiking-boots → Differentiate (target a long-tail variant) • https://example.com/hiking-boots-2026 → Differentiate (target a long-tail variant)

"running shoes"

3 URLs targeting the same keyword · 7,800 clicks total

cannibalization

URL	Pos	Clicks	Role
https://example.com/best-running-shoes	6	5400	primary
https://example.com/running-shoes-women	14	1800	consolidate
https://example.com/affordable-running	22	600	consolidate

Keep https://example.com/best-running-shoes as the canonical for "running shoes". Consolidate or differentiate the others: • https://example.com/running-shoes-women → Differentiate (target a long-tail variant) • https://example.com/affordable-running → Differentiate (target a long-tail variant)

Start here · What is keyword cannibalization?

Cannibalization happens when two or more URLs on one site compete for the same search intent. Rankings and clicks split, and Google may keep flipping the winner.

This tool ingests one line per row with pipes: URL | keyword | position | clicks. Optional numbers help pick a primary URL.

It groups by keyword, flags groups with two or more URLs, and recommends keeping the best-position URL as canonical while suggesting redirects or differentiation for the rest.

When to use this tool

Content audit spreadsheet cleanup
Export rankings from your rank tracker, normalize into the pipe format, and see clashes instantly.
After a site merge
Spot legacy paths still targeting head terms that should consolidate to one landing page.
Blog versus product overlap
Find informational posts that steal transactional terms from product pages or vice versa.
Stakeholder explanations
Use the sample data to teach what “same keyword, many URLs” costs before proposing redirects.

Examples

Walk through these with the form above — they are practice scenarios, not live data.

Two guides on the same head term

Try this

Paste two URLs with the same keyword column, add average positions 12 and 18, and realistic click counts.

What to look for

The conflict card picks the stronger position as primary and labels the weaker row for differentiation or redirect.

Keywords without metrics

Try this

Leave position and clicks blank so the tool only groups by URL and keyword strings.

What to look for

You still see conflicts, but priority ranking is weaker. Add metrics when you have them.

Short tutorial

Follow in order the first time you use the tool; later you can skip to the step you need.

Step 1 — Gather URL + keyword pairs
Use Search Console landing pages, rank trackers, or crawls annotated with target keywords.
Step 2 — Format rows with pipes
Follow URL | keyword | position | clicks. One row per pair.
Step 3 — Review conflict cards
Sort by how many URLs share a keyword, then read the HTML advice block per group.
Step 4 — Choose consolidation or differentiation
301 to the primary URL when pages duplicate intent. Change angles, titles, and internal links when both pages should exist.
Step 5 — Retrack after fixes
Update the paste with fresh positions to confirm only one URL owns the head term.

More detail

New here? Skim Start here first, then run one Examples scenario in the form above.

Keyword Cannibalization does one job: find pages on your site fighting each other for the same term. It lives under Keyword Research on SEOToolkits, where the beginner idea is simple: Keyword research is how SEOs understand the words people use and the intent behind those words.

FAQ

Is this the same as the GSC cannibalization tracker?: No. That tool reads a Search Console CSV with query and page columns. This one uses pipe-separated pairs you supply.
Why lowercase keywords?: Keywords normalize to lowercase so casing differences do not hide a conflict.
What if three URLs compete?: All URLs appear in the group. Primary selection still sorts by position then clicks.
Does this connect to live data?: No API calls. All parsing runs in the browser from pasted text.